Wick, Christoph
Dr. Christoph Wick
University of Würzburg
Department for Artificial Intelligence
and Applied Computer Science
Am Hubland
D-97074 Würzburg
Room: B015
Phone: +49 931 / 31 - 82067
christoph.wick@uni-wuerzburg.de
PGP-Key: 8E431938 (4A54 9836 DC22 EDDA ED80 992F AE8E FF7A 8E43 1938)
Projects
- Deep Learning
- Entropy Piano Tuner
Publications
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OCR4all - An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings. . In ArXiv Preprints (submitted to MDPI - Applied Sciences). 2019.
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Staff, Symbol and Melody Detection of Medieval Manuscripts Written in Square Notation Using Deep Fully Convolutional Networks. . In Applied Sciences, 9(13). 2019.
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{OMMR}4all — a {Semiautomatic} {Online} {Editor} for {Medieval} {Music} {Notations}. . In 2nd {International} {Workshop} on {Reading} {Music} {Systems}, J. Calvo-Zaragoza, A. Pacha (eds.), pp. 31–34. Delft, The Netherlands, 2019.
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Automatic Semantic Text Tagging on Historical Lexica by Combining OCR and Typography Classification. . In Proceedings of the 3rd International Conference on Digital Access to Textual Cultural Heritage. 2019.
- [ BibTeX ]
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State of the Art Optical Character Recognition of 19th Century Fraktur Scripts using Open Source Engines. . In DHd 2019 Digital Humanities: multimedial & multimodal. 2019.
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Comparison of OCR Accuracy on Early Printed Books using the Open Source Engines Calamari and OCRopus. . In Vol. 33, pp. 79–96. 2018.
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Improving OCR Accuracy on Early Printed Books by combining Pretraining, Voting, and Active Learning. . In JLCL, 33(1), pp. 3–24. 2018.
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Improving OCR Accuracy on Early Printed Books by utilizing Cross Fold Training and Voting. . 2017.
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Fully Convolutional Neural Networks for Page Segmentation of Historical Document Images. . 2017.
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Playing Music in Just Intonation - A Dynamically Adapting Tuning Scheme. . 2017.
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Leaf Identification Using a Deep Convolutional Neural Network. . 2017.
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Transfer Learning for OCRopus Model Training on Early Printed Books. . 2017.
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Deep Learning. . In Informatik-Spektrum, pp. 1–5. 2016.
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Entanglement formation under random interactions. . 2015.
Teaching
- Seminar "Aktuelle Trends der künstlichen Intelligenz" - "Deep Learning" (winter term 2015/2016)
- Künstliche Intelligenz 2 (winter term 2015/2016)
- Seminar "Aktuelle Trends der künstlichen Intelligenz" - Wissensmodellierung (summer term 2016)
- Softwaretechnik (summer term 2016)